CVE-2023-25674: NPE in RandomShuffle with XLA enable

Vulnerability in the Oracle Hyperion Financial Reporting product of Oracle Hyperion (component: Repository). The supported version that is affected is 11.2.13.0.000. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Hyperion Financial Reporting. While the vulnerability is in Oracle Hyperion Financial Reporting, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in unauthorized access to critical data or complete access to all Oracle Hyperion Financial Reporting accessible data and unauthorized ability to cause a partial denial of service (partial DOS) of Oracle Hyperion Financial Reporting. CVSS 3.1 Base Score 8.5 (Confidentiality and Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:L).

### Impact NPE in RandomShuffle with XLA enable ```python import tensorflow as tf func = tf.raw_ops.RandomShuffle para = {'value': 1e+20, 'seed': -4294967297, 'seed2': -2147483649} @tf.function(jit_compile=True) def test(): y = func(**para) return y test() ``` ### Patches We have patched the issue in GitHub commit [728113a3be690facad6ce436660a0bc1858017fa](https://github.com/tensorflow/tensorflow/commit/728113a3be690facad6ce436660a0bc1858017fa). The fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1 ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by r3pwnx